Introduction

I began writing for PyImageSearch recently through their External Authors program, which I am a proud member of. I enjoy writing for them due to their commitment to high-quality posts and detailed walkthroughs, which are normally rare to find. Co-incidentally, I made use of this website myself more times than I can count, while I was beginning my journey into Machine Learning and Computer Vision. I was invited to do this by Aritra Roy Gosthipaty to whom I remain indebted.

Blog Posts

• Getting Started with Docker for Machine Learning: This was the first part in a 3-part series which covered all the basics and essentials a Machine Learning Engineer would need to get started with Docker. It mainly introduced the concept of Containerization and the installation process of Docker

• Getting Used to Docker for Machine Learning: This was the second part of the 3-part series. It introduced the most common Docker commands, how they work, and their nuances towards using them in a containerized system.

• Setting Up a GPU Development Environment Using Docker: This was the final part of the 3-part series. It took up an end-to-end use-case of deploying a GPU-enabled NVIDIA PyTorch container for use on Google Cloud Platform from scratch and making use of it through a Jupyter Notebook instance.